Top 100 Most Popular Girl Baby Names by Pronunciation in the US 2023 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Girl Names

Ranking Name Distortion Index Count
1 📈
(Org: 5)
(19,684)
0.39 19,684
2 📉
(Org: 1)
(15,393)
0.01 15,393
3 📉
(Org: 2)
(14,186)
0.04 14,186
4 📉
(Org: 3)
(12,628)
- 12,628
5 📉
(Org: 4)
(12,451)
0.01 12,451
6 ➡️
(Org: 6)
(11,634)
0.02 11,634
7 ➡️
(Org: 7)
(11,385)
0.05 11,385
8 📈
(Org: 36)
(10,529)
0.51 10,529
9 ➡️
(Org: 9)
(10,313)
0.12 10,313
10 📈
(Org: 13)
(10,234)
0.26 10,234
11 📉
(Org: 8)
(9,978)
0.03 9,978
12 📈
(Org: 43)
(8,310)
0.44 8,310
13 📈
(Org: 30)
(8,258)
0.31 8,258
14 📈
(Org: 20)
(7,999)
0.23 7,999
15 📈
(Org: 58)
(7,983)
0.54 7,983
16 📉
(Org: 10)
(7,926)
0.01 7,926
17 📉
(Org: 11)
(7,792)
- 7,792
18 📈
(Org: 34)
(7,738)
0.31 7,738
19 📈
(Org: 26)
(7,582)
0.21 7,582
20 📈
(Org: 24)
(7,516)
0.2 7,516
21 📉
(Org: 17)
(7,381)
0.14 7,381
22 📉
(Org: 14)
(7,081)
0.05 7,081
23 📉
(Org: 15)
(6,879)
0.04 6,879
24 📈
(Org: 53)
(6,745)
0.41 6,745
25 ➡️
(Org: 25)
(6,680)
0.1 6,680
26 📉
(Org: 19)
(6,559)
0.06 6,559
27 📉
(Org: 21)
(6,490)
0.05 6,490
28 📉
(Org: 16)
(6,473)
0.02 6,473
29 📉
(Org: 27)
(6,324)
0.06 6,324
30 📉
(Org: 18)
(6,198)
0 6,198
31 📉
(Org: 28)
(6,143)
0.04 6,143
31 📈
(Org: 69)
(6,143)
0.48 6,143
33 📉
(Org: 22)
(6,098)
0 6,098
34 📉
(Org: 23)
(6,077)
0 6,077
35 📈
(Org: 37)
(5,996)
0.14 5,996
36 📉
(Org: 29)
(5,874)
- 5,874
37 📉
(Org: 32)
(5,817)
0.03 5,817
38 📉
(Org: 31)
(5,767)
0.01 5,767
39 📉
(Org: 35)
(5,708)
0.08 5,708
40 📉
(Org: 33)
(5,706)
0.06 5,706
41 📈
(Org: 99)
(5,653)
0.53 5,653
42 📉
(Org: 38)
(5,568)
0.09 5,568
43 📈
(Org: 129)
(5,534)
0.61 5,534
44 📉
(Org: 40)
(5,413)
0.1 5,413
45 📉
(Org: 42)
(5,295)
0.12 5,295
46 📈
(Org: 50)
(5,119)
0.2 5,119
47 📈
(Org: 54)
(5,070)
0.22 5,070
48 📉
(Org: 39)
(4,926)
0 4,926
49 📈
(Org: 61)
(4,799)
0.26 4,799
50 📉
(Org: 41)
(4,789)
0.01 4,789
51 📉
(Org: 48)
(4,696)
0.12 4,696
52 📈
(Org: 85)
(4,646)
0.39 4,646
53 📈
(Org: 56)
(4,590)
0.18 4,590
54 📉
(Org: 44)
(4,589)
0.02 4,589
55 📉
(Org: 45)
(4,517)
0.02 4,517
56 📈
(Org: 97)
(4,439)
0.39 4,439
57 📉
(Org: 47)
(4,426)
0.03 4,426
58 📈
(Org: 91)
(4,392)
0.37 4,392
59 📉
(Org: 46)
(4,387)
0 4,387
60 📈
(Org: 87)
(4,352)
0.36 4,352
61 📈
(Org: 63)
(4,346)
0.21 4,346
62 📈
(Org: 125)
(4,285)
0.48 4,285
63 📈
(Org: 105)
(4,193)
0.39 4,193
64 📉
(Org: 57)
(4,192)
0.13 4,192
65 📈
(Org: 90)
(4,140)
0.33 4,140
66 📉
(Org: 49)
(4,094)
0 4,094
67 📈
(Org: 101)
(4,056)
0.36 4,056
68 📉
(Org: 52)
(4,045)
- 4,045
69 📈
(Org: 139)
(3,999)
0.5 3,999
70 📈
(Org: 88)
(3,995)
0.3 3,995
71 📉
(Org: 54)
(3,937)
- 3,937
72 📉
(Org: 68)
(3,927)
0.19 3,927
73 📈
(Org: 89)
(3,845)
0.27 3,845
74 📉
(Org: 60)
(3,799)
0.06 3,799
75 📈
(Org: 84)
(3,742)
0.24 3,742
76 📉
(Org: 62)
(3,715)
0.05 3,715
77 📈
(Org: 82)
(3,690)
0.21 3,690
78 📉
(Org: 59)
(3,658)
0.02 3,658
79 📈
(Org: 159)
(3,656)
0.51 3,656
80 📈
(Org: 100)
(3,655)
0.28 3,655
81 📉
(Org: 65)
(3,623)
0.07 3,623
82 📉
(Org: 72)
(3,599)
0.15 3,599
83 📈
(Org: 209)
(3,581)
0.6 3,581
84 📈
(Org: 93)
(3,570)
0.23 3,570
85 📉
(Org: 67)
(3,556)
0.1 3,556
86 📈
(Org: 290)
(3,529)
0.7 3,529
87 📉
(Org: 70)
(3,381)
0.08 3,381
88 📉
(Org: 66)
(3,368)
0.01 3,368
89 📉
(Org: 64)
(3,366)
- 3,366
90 📈
(Org: 169)
(3,237)
0.47 3,237
91 📈
(Org: 153)
(3,231)
0.42 3,231
92 📈
(Org: 181)
(3,213)
0.49 3,213
93 📈
(Org: 194)
(3,207)
0.51 3,207
94 📉
(Org: 92)
(3,195)
0.14 3,195
95 📉
(Org: 74)
(3,167)
0.04 3,167
96 📉
(Org: 80)
(3,148)
0.07 3,148
97 📉
(Org: 71)
(3,088)
- 3,088
98 📉
(Org: 73)
(3,078)
0.01 3,078
99 📈
(Org: 166)
(3,050)
0.43 3,050
99 📈
(Org: 107)
(3,050)
0.17 3,050